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Data for A galloping energy harvester with flow attachment
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Harvey, Sam, Khovanov, Igor A. and Denissenko, Petr (2019) Data for A galloping energy harvester with flow attachment. [Dataset]
Archive (ZIP)
113487 Data.zip - Accepted Version Available under License Creative Commons Attribution 4.0. Download (2505Kb) |
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Plain Text
113487 readme.txt - Accepted Version Available under License Creative Commons Attribution 4.0. Download (1898b) |
Official URL: http://wrap.warwick.ac.uk/113487
Abstract
Aeroelastic energy harvesters are a promising technology for powering wireless sensors and microelectromechanical systems. In this letter, we present a harvester inspired by the trembling of aspen leaves in barely noticeable winds. The galloping energy harvester, a curved blade oriented perpendicular to the flow, is capable of producing self-sustained oscillations at uncharacteristically low wind speeds. The dynamics of the harvesting system are studied experimentally and compared to a lumped parameter model. Numerical simulations quantitatively describe the experimentally observed dynamic behaviour. Flow visualisation is performed to investigate the patterns generated by the device. Dissimilar to many other galloping harvester designs, the flow is found to be attached at the rear surface of the blade when the blade is close to its zero displacement position, hence acting more closely to aerofoils rather than to conventionally used bluff bodies. Simulations of the device combined with a piezoelectric harvesting mechanism predict higher power output than that of a device with the square prism.
Item Type: | Dataset | ||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Type of Data: | Experimental data | ||||||
Library of Congress Subject Headings (LCSH): | Energy harvesting, Wireless sensor networks | ||||||
Publisher: | University of Warwick, School of Engineering | ||||||
Official Date: | 14 March 2019 | ||||||
Dates: |
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Status: | Not Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Media of Output (format): | .tif .csv .txt | ||||||
Copyright Holders: | University of Warwick | ||||||
Description: | All data is in CSV format with headings. Raw motion tracking videos and data are available on request due to size, please contact s.w.tucker-harvey@warwick.ac.uk for further details. Figure 3: Raw Images for Presented Flow Visualisations Raw flow visualisation images used for calculating velocity field via PIV. Figure 5: Normalised Velocity Amplitude vs Reduced Velocity All results are dimensionless. blade_experimental_a.csv - blade_experimental_d.csv correspond to different experimental runs. Figure 6: Angle of Attack Amplitude vs Reduced Velocity Angle of attack is presented in degress, reduced velocity is dimensionless. blade_experimental_a.csv - blade_experimental_d.csv correspond to different experimental runs. Figure 7: Force Coefficients Angle of attack is presented in degrees, while force coefficients are dimensionless. Statically measured lift, drag and Cy coefficients are tabulated. Figure 7: Harvested Power Simulation Results Power is presented in Wm^-2 while reduced velocity is dimensionless. |
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Date of first compliant deposit: | 12 March 2019 | ||||||
Date of first compliant Open Access: | 12 March 2019 | ||||||
RIOXX Funder/Project Grant: |
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